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Optimal value of the couple ground volumetric heat capacity-borehole thermal resistance results simply from their conditional expectation, by using the expected value of service parameter p: m p = E(p) = ⌠p∙f(p dp.
This can be done by using the expected values of reliable 3D mobile attributes to give a starting point in the search of parallelepiped attributes, and optimising in a local neighbourhood of α and h parallelepiped attributes.
The resulting relationship between selective constraints and Ne s (fig. 2) for coevolving sites (Ccoev) and independently evolving sites (Cind) can be obtained by using the expected fixation times (and ) and their neutral analogs in equation (1), respectively.
A survival benefit for patients treated with DrotAA was suggested, but this was assessed by using the expected mortality based on severity scores or using the untreated population as controls.
The entropy of the system, if constrained only by firing rates (S1), is computed by using the expected P, which is determined on the basis of observed firing rates under the assumption of independent firing.
By using the expected coalescence times in our serial founder model (Equation 4), we can define these times for pairwise comparisons of populations E i and E j (i < j) as T ¯ 0 = (1 / 2 ) E [ T i i ] + (1 / 2 ) E [ T j j ], T ¯ diff = E [ T i j ] (the mean pairwise coalescence time for two lineages from different populations), and T ¯ = (1 / 2 ) T ¯ 0 + (1 / 2 ) T ¯ diff.
Similar(49)
This is undertaken within a Bayesian probabilistic approach where the source field is encoded by unobservable latent variables which are iteratively reconstructed by using the Expected-Maximization (EM) algorithm.
Remaining missing values were replaced by multiple imputations using the expected maximum function in PRELIS.
Results from hypotheses testing based on the three alternative Acanthocephala-sistergroup relationships covered by the present approach using the Expected Likelihood Weight (ELW) test.
RNA concentrations were measured in triplicate using a NanoDrop ND-1000 Spectrophotometer, with purity being determined by the A260/A280 ratio using the expected values between 1.8 and 2. Each RNA sample was then diluted to 2 ng/ul.
Since the geographic region of patient recruitment is extensively colonized by Europeans [ 28], we used the expected allelic frequencies published in 1000 Genomes for euro-descendent populations as reference to minimize effects of population admixture in the analysis.
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by using the forecasting
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by increasing the expected
by subtracting the expected
by calculating the expected
by demanding the expected
by comparing the expected
by multiplying the expected
by solving the expected
by normalising the expected
by minimising the expected
by summing the expected
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com